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\title{Towards  Self-Linking Linked Data}

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\author{Samur Araujo\inst{1}, Arjen de Vries\inst{1} and Daniel Schwabe\inst{2} }

% Jeffrey Dean \and David Grove \and Craig Chambers \and Kim~B.~Bruce \and
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\institute{Delft University of Technology, PO Box 5031, 2600 GA Delft, the Netherlands \email{{{s.f.cardosodearaujo, a.p.devries}@tudelft.nl}}
\and  PUC-Rio, Rua Marques de Sao Vicente, 225, Rio de Janeiro, Brazil \\
\email{dschwabe@inf.puc-rio.br}}

\maketitle
\begin{abstract} 


We  present here a vision of what needs to be addressed to boost the interlinking in the Linked Data. We propose a paradigm shift in the way of doing data integration that can improve the accuracy and facilitates the building of interlinks in the Web of Data, immensely.  We envision an Organic Linked data where each of its  datasets behave  as an independent organism capable of interacting to another to achieve a desirable level of connectivity. We adapted principles from biological systems to support this vision. 

%The Semantic Web promises to greatly improve the access to data by users and machines. Nowadays, the Linked Data is the first materialization of this vision. The Linked Data is formed by a large number of dataset connected via interlinks. The building of these interlinks  are crucial to the success of the Semantic Web but has shown to be a non-trivial task. Many datasets in this web of data are still not fully connected and the task of publishing a new dataset requires  intense manual human labor to connect it to the cloud. By considering the novel paradigm of self-interlinking as an intrinsic component on the Linked Data architecture, an automatic and human independent  interlinking  can be done. In practice, a self-interlinking Linked Data is the way to boost the interlinking in the Linked Data, immensely.  We can achieve that by casting the interlinking problem as a querying problem where the process of connecting two datasets is resumed to query a target endpoint for the desired information, therefore, building a web of truly functional datasets that can autonomously communicate to each other  to achieve their interlink. Creating a self-interlinking Linked Data is a necessary and challenging endeavor that we outline in this work.
 

\textbf{Keywords}: data integration, RDF interlinking, instance matching, candidate selection, self-linked data, linked data.
\end{abstract} 

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